training training
This training is held in German.
Basic statistical knowledge and knowledge of the most important machine learning methods are essential in order to understand correlations, use the right analysis tools and derive valid forecasts. The following topics are covered: basics of data science, machine learning and artificial intelligence, use cases for segmentation, regression and classification, feature engineering, linear/non-linear machine learning methods. In-depth study of artificial intelligence topics with a focus on deep learning and reinforcement learning.
Contents
Further training in accordance with AI Regulation Art. 4 for the obligation to provide evidence of AI competence
Methodological basics of predictive analytics and machine learning
- Segmentation.
- Regression and classification.
- Training and testing of machine learning models.
- Popular mistakes in machine learning.
- Advanced applications of AI such as neural networks and reinforcement learning.
- Identification of potential fields of application (e.g. in controlling, marketing, sales, production).
Data acquisition and processing as the basis for predictive analytics and machine learning
- Merging and cleansing of raw data.
- Data preparation for machine learning.
- Data exploration and visualizations.
- Feature engineering and selection.
- Cross Validation.
Concrete projects, tools and case studies
- Insight into key processes based on case studies.
- Explanation of the most common machine learning methods.
- Time series analysis.
- Practical exercises with machine learning tools.
- Development of own AI models to solve company-specific problems.
- Exercise for clustering customer segments.
- Exercise on forecasting methods.
Current trends and development tendencies
Learning environment
Once you have registered, you will find useful information, downloads and extra services relating to this training course in your online learning environment.
Your benefit
In this training , you will benefit from expert knowledge on how to analyze a variety of data sources in a targeted manner, put forecasts and reports on a more valid basis and make decisions more confidently. You will learn in a practical way using many examples and exercises,
- what requirements are necessary for the use of machine learning and predictive analytics,
- what potential applications you have in controlling through the use of machine learning and predictive analytics,
- which methods and procedures are expedient for controlling and
- how to assess the suitability and potential success of AI, data science and machine learning.
- Expanding practical skills in the use of modern AI methods and their implementation in companies.
You can optionally take an e-exam and receive a certificate in addition to the confirmation of participation according to the exam result.
Methods
In-person events
Practice-oriented lecture, case studies and exercises on the PC, discussion and optional exam.
Live online events
Practice-oriented lecture, case studies and exercises on the PC, discussion and optional exam.
Technical information (live online event)
- The training is carried out in a virtual training environment so that you have access to the required programs during the training .
- Please note that in order to use the virtual training environment, you will receive a so-called RDP file (Remote Desktop Protocol) from us, which you must open on your computer. Please speak to your IT department in advance to find out whether this is possible.
- By default, the Remote Desktop Client is only available on Windows Professional and not on Windows Home.
The following third-party tool can be used in the event:
Recommended for
Specialists and managers and those responsible for reporting, planning and budgeting from controlling who want to expand their methodological knowledge, Employees who want to use machine learning and data science.
The training uses the "Knime" tool; previous experience is not necessary. However, it is an advantage if the participants are familiar with working with Excel.
Optional e-test
After successfully completing the training , you can take an optional e-exam to obtain an additional certificate in addition to your confirmation of participation. The e-exam is an online-based exam on your PC and lasts 60 minutes. You can take the exam in your familiar environment at a time of your choosing. The exam is based on single or multiple choice questions. Once you have completed the exam, you will immediately be shown whether you have passed or failed. Once you have successfully passed the e-exam, you will receive a certificate corresponding to the exam result.
Further recommendations for "Predictive Analytics: Methods - Procedures - Applications"
Attendees comments
"Good content and now also in digital format, which greatly increases flexibility."
Arne Brehmer
Hermes Germany GmbH
"Exciting and fascinating topic. I particularly enjoyed the workshops."
Oliver Bauer
Signal Iduna
"Very well prepared training and very good implementation. I liked the use cases."
Julia Wagenknecht
Media Mitteldeutschland GmbH
Seminar evaluation for "Predictive analytics: methods - procedures - applications"
4 from 5
with 110 ratings
training content:
4
Content comprehensibility:
3.7
Practical relevance:
3.6
Trainer expertise:
4.4
Participant orientation:
4.1
Method variety:
4.1
On-site training together
Booking number
4788
4788
€ 1.490,-
plus VAT
2 days
in 3 locations
with certificate
4 Events
German
Joint online training
Booking number
33608
33608
€ 1.490,-
plus VAT
2 days
Online
with certificate
2 Events
German
Start dates and details
11.06.2025
Live-Online
Booking number:
33608
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Course
zoom
Days & Times
2 days
Limited number of participants
Wednesday, 11.06.2025
09:00 am - 5:00 pm
Thursday, 12.06.2025
09:00 am - 5:00 pm
09.09.2025
Hamburg
Booking number:
4788
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Tuesday, 09.09.2025
09:00 am - 5:00 pm
Wednesday, 10.09.2025
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
23.10.2025
Munich
Booking number:
4788
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Thursday, 23.10.2025
09:00 am - 5:00 pm
Friday, 24.10.2025
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
25.03.2026
Live-Online
Booking number:
33608
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Course
zoom
Days & Times
2 days
Limited number of participants
Wednesday, 25.03.2026
09:00 am - 5:00 pm
Thursday, 26.03.2026
09:00 am - 5:00 pm
06.05.2026
Frankfurt a. M.
Booking number:
4788
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Wednesday, 06.05.2026
09:00 am - 5:00 pm
Thursday, 07.05.2026
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
08.07.2026
Hamburg
Booking number:
4788
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Days & Times
2 days
Limited number of participants
Wednesday, 08.07.2026
09:00 am - 5:00 pm
Thursday, 09.07.2026
09:00 am - 5:00 pm
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Training is guaranteed to take place
Booking number:
4788
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Details
2 days
Limited number of participants
Fee includes
The participation fee includes
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Booking number:
33608
€ 1.490,- plus VAT.
€ 1,773.10 incl. VAT.
Details
2 days
Limited number of participants
No suitable date?
You are welcome to be notified by e-mail as soon as new dates are released.
Please note: We use third-party tools for selected events. Personal data of the participant will be passed on to them for the implementation of the training offer. You can find more information in our privacy policy.
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